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Principal Data Scientist, Experimentation

TripAdvisor·Salary not specified

Primary stack

PythonSQLMachine Learning

Nice to have's

Communication

Job description

About the Position

We are seeking a Principal Data Scientist, Experimentation to join our team in London. At Tripadvisor, we are passionate about data and its role in empowering our decision-making. If you have a deep understanding of experimentation and a proven track record in data science, we want you to lead our efforts in this critical area.

Responsibilities

As a Principal Data Scientist, you will:

  • Set the technical standard for experimentation across Product Data Science, from conventional A/B testing to quasi-experimental and Bayesian methods.
  • Partner with Product, Engineering, and Data Platform teams to improve experimentation velocity without sacrificing rigor.
  • Critically assess how experimentation and the decisions that follow it affect platform health and growth.
  • Own the measurement approach for Viator's most complex questions.
  • Develop and validate the statistical methods the organization relies on.
  • Act as the final technical authority on measurement validity.
  • Standardize recurring analytical and experimentation processes across the function.
  • Design and land methodological improvements with organization-wide impact.
  • Grow the technical depth of the wider team by reviewing designs, mentoring senior data scientists, and improving how people reason about measurement.
  • Advise on where experimentation is the wrong tool and define what should be done instead.

Requirements

  • Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.
  • Statistical & Experimentation Expertise: Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits, and Bayesian methods.
  • Technical & Modelling Expertise: Expert level proficiency in Python and SQL. Deep, hands-on experience with statistical modelling, (quasi) experimentation, multi-arm bandits, and a wide range of machine learning techniques.
  • Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch.
  • Partnership & Enablement: Proven ability to improve how other teams work by providing guidance, tooling, and protocols.
  • Decision Impact & Platform Health: Ability to critically assess how product decisions affect platform health and growth over time.
  • Standardising at Scale: Experience standardising processes, frameworks, or methods across multiple teams.
  • Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform, and other central functions.
  • Critical Thinking: Leader in critical thinking, with a demonstrated habit of establishing whether a result is trustworthy before establishing what it means.
  • Communication: Exceptional ability to explain measurement, method, and uncertainty clearly to technical and non-technical audiences at every level.
  • Education: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

Nice to Have

  • Experience with experimentation in a two-sided marketplace.
  • Experience building and validating proxy or surrogate metrics for long-horizon outcomes.
  • Experience with Bayesian and hierarchical approaches.
  • Experience building or materially improving experimentation platforms, measurement frameworks, self-service capabilities, or data products.
  • Experience in a high-scale technology company, marketplace, e-commerce business, or travel technology organization.
  • Experience applying AI, Large Language Models, agentic AI, or automation to improve analytical productivity and decision-making effectiveness.
  • Experience with SaaS experimentation tools such as Statsig, Eppo, or GrowthBook.

We Offer

  • Opportunity to work in a leading global travel company.
  • Collaborative and innovative work environment.
  • Competitive compensation package.
  • Flexible working arrangements.

About the Company

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please reach out to your individual recruiter or our team at [email protected].

For any additional questions about careers at Tripadvisor, you can email us at [email protected].

© TripAdvisor. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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